Parameter matching and sensitivity analysis for the powertrain system of micro-electric vehicle

Ji-yan, QI; Fu, Jingshun; Jin, Jiaqi

doi:10.1504/ijehv.2019.098720

Cited by 3 publications

(2 citation statements)

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“…(3) Where: Pmax is the motor peak power; Pblimit is the maximum battery power threshold; Pblimit ≥ Pave, ta is the acceleration time from standstill to 49km/h [20] ; ta=15s, nucs is the quantity of series supercapacitor cells, and nucp is the quantity of parallel supercapacitor cells. The BACP3000 supercapacitor produced by Maxwell Company is adopted for supercapacitor cells, and its rated voltage is 2.7V.…”

Section: Parameters Matching Of Supercapacitormentioning

confidence: 99%

Analysis of Micro-Electric Vehicle with Super Capacitor/Battery Hybrid Energy Storage System

Ji-yan¹,

2023

J. Phys.: Conf. Ser.

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For the self-developed micro-electric vehicle (MEV), the supercapacitor/battery hybrid energy storage system (HESS) parameters were matched by analyzing the vehicle dynamic and economic constraints. The power distribution of HESS was realized by the fuzzy control strategy, and the entire vehicle model was also built to simulate the dynamic performance. The LCC model of MEV was established based on the comprehensive research of the life cycle cost (LCC). Quantitative comparisons and simulation results show that the micro electric vehicle with supercapacitor/battery HESS has great advantages in dynamic and economy. In the future, with the maturity and popularization of related technologies, the supercapacitor/battery HESS will have a huge preponderance.

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Section: Parameters Matching Of Supercapacitormentioning

confidence: 99%

Analysis of Micro-Electric Vehicle with Super Capacitor/Battery Hybrid Energy Storage System

Ji-yan¹,

2023

J. Phys.: Conf. Ser.

Self Cite

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“…To ensure that the engine has the ability to guarantee the balance of battery power under the whole working condition, the power output of the engine needs to be greater than the average power under the working condition. In contrast to the hybrid mode is the purely electric mode of HEV, when the electric motor is the sole provider of energy sources [43,44]. Hence, in determining the maximum speed and acceleration, the demanded power of the drive cycle should meet the power demand of the electric motor.…”

Section: Parameter Matching Of Hev Key Components 221 Vehicle Perform...mentioning

confidence: 99%

Parameter Matching, Optimization, and Classification of Hybrid Electric Emergency Rescue Vehicles Based on Support Vector Machines

et al. 2022

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Based on the requisition for an ideal precise power source for a hybrid electric emergency rescue vehicle (HE-ERV), we present an optimistic parameter matching and optimization schemes for the selection of a HE-ERV. Then, given a set of optimized power source components, they are classified into different types of HE-ERV. In this study, due to the different design objectives of different types of emergency rescue vehicles and the problems of hybrid electric vehicle parameter matching, a multi-island genetic algorithm (MIGA) and non-linear programming quadratic Lagrangian (NLPQL) is proposed for the matched parameters. The vehicle dynamic model is established based on the AVL Cruise simulation platform. The power source performance parameters are matched by theoretical analysis and coupled to the simulation platform. Finally, the optimized matched parameters are classified based on the support vector machines classification model to determine the category of the HE-ERV. The classification results showed that there is an unprecedented level for categorizing several factors of the power source parameters. This research showed that its more logical and reasonable to match HE-ERVs with medium motor/engine power output and battery capacity, as these can attain dynamic performance, extended driving range, and reduced energy consumption.

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Parameter Matching of Energy Regeneration System for Parallel Hydraulic Hybrid Loader

et al. 2021

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Oil shortages and environmental pollution are attracting worldwide attention incrementally. Hybrid falls within one of the effective techniques for those two problems. Taking the loader with high energy consumption and high emission as the target, combined with the hydraulic hybrid technology with high power density and strong energy storage capacity, the parallel hydraulic hybrid loader (PHHL) based on brake energy regeneration is proposed. Firstly, the dynamic models of the key components of the PHHL are established, and the parameters of the part which coincides with the ordinary loader are corrected based on the V-type duty cycle. Then, consid-ering the energy recovery efficiency as well as the characteristics of the loader from the V-type duty cycle, the parameters for several major parts of the energy regeneration system (ERS) were calculated and matched. Then, based on the initial matching, the improved adaptive genetic al-gorithm (AGA) is employed to optimize the control variable of the control strategy and the design parameters of ERS to enhance the economic benefit and performance of the ERS. Furthermore, a simulation validation was conducted. Simulation results show that the ERS with optimized pa-rameters could improve the fuel-saving effect by 25% compared to the ERS with initial parameters, which indicated the rationality of the optimized parameters. Finally, the fuel consumption test of the PHHL prototype under the V-type duty cycle is performed. The results show that the PHHL with the optimization scheme can achieve 9.12% fuel saving, which is on the brink of the potential of brake energy recovery and verifies the feasibility of applying hydraulic hybrid technology on the loader.

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Parameter matching and sensitivity analysis for the powertrain system of micro-electric vehicle

Cited by 3 publications

References 0 publications

Analysis of Micro-Electric Vehicle with Super Capacitor/Battery Hybrid Energy Storage System

Analysis of Micro-Electric Vehicle with Super Capacitor/Battery Hybrid Energy Storage System

Parameter Matching, Optimization, and Classification of Hybrid Electric Emergency Rescue Vehicles Based on Support Vector Machines

Parameter Matching of Energy Regeneration System for Parallel Hydraulic Hybrid Loader

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